awswrangler/dynamodb/_read.pyi (242 lines of code) (raw):

from typing import ( TYPE_CHECKING, Any, Iterator, Literal, Sequence, overload, ) import boto3 import pyarrow as pa from boto3.dynamodb.conditions import ConditionBase import awswrangler.pandas as pd if TYPE_CHECKING: from mypy_boto3_dynamodb.client import DynamoDBClient _ItemsListType = list[dict[str, Any]] def _read_scan( dynamodb_client: "DynamoDBClient" | None, as_dataframe: bool, kwargs: dict[str, Any], schema: pa.Schema | None, segment: int, ) -> pa.Table | _ItemsListType: ... @overload def read_partiql_query( query: str, parameters: list[Any] | None = ..., chunked: Literal[False] = ..., boto3_session: boto3.Session | None = ..., ) -> pd.DataFrame: ... @overload def read_partiql_query( query: str, *, parameters: list[Any] | None = ..., chunked: Literal[True], boto3_session: boto3.Session | None = ..., ) -> Iterator[pd.DataFrame]: ... @overload def read_partiql_query( query: str, *, parameters: list[Any] | None = ..., chunked: bool, boto3_session: boto3.Session | None = ..., ) -> pd.DataFrame | Iterator[pd.DataFrame]: ... @overload def read_items( table_name: str, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: Literal[True] = ..., chunked: Literal[False] = ..., use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> pd.DataFrame: ... @overload def read_items( table_name: str, *, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: Literal[True] = ..., chunked: Literal[True], use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> Iterator[pd.DataFrame]: ... @overload def read_items( table_name: str, *, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: Literal[False], chunked: Literal[False] = ..., use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> _ItemsListType: ... @overload def read_items( table_name: str, *, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: Literal[False], chunked: Literal[True], use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> Iterator[_ItemsListType]: ... @overload def read_items( table_name: str, *, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: bool, chunked: Literal[False] = ..., use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> pd.DataFrame | _ItemsListType: ... @overload def read_items( table_name: str, *, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: bool, chunked: Literal[True], use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> Iterator[pd.DataFrame] | Iterator[_ItemsListType]: ... @overload def read_items( table_name: str, *, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: Literal[True], chunked: bool, use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> pd.DataFrame | Iterator[pd.DataFrame]: ... @overload def read_items( table_name: str, *, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: Literal[False], chunked: bool, use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> _ItemsListType | Iterator[_ItemsListType]: ... @overload def read_items( table_name: str, *, index_name: str | None = ..., partition_values: Sequence[Any] | None = ..., sort_values: Sequence[Any] | None = ..., filter_expression: ConditionBase | str | None = ..., key_condition_expression: ConditionBase | str | None = ..., expression_attribute_names: dict[str, str] | None = ..., expression_attribute_values: dict[str, Any] | None = ..., consistent: bool = ..., columns: Sequence[str] | None = ..., allow_full_scan: bool = ..., max_items_evaluated: int | None = ..., dtype_backend: Literal["numpy_nullable", "pyarrow"] = ..., as_dataframe: bool, chunked: bool, use_threads: bool | int = ..., boto3_session: boto3.Session | None = ..., pyarrow_additional_kwargs: dict[str, Any] | None = ..., ) -> pd.DataFrame | Iterator[pd.DataFrame] | _ItemsListType | Iterator[_ItemsListType]: ...